Systems and methods for price searching and intelligent shopping lists on a mobile device

ABSTRACT

Price searching and intelligent shopping lists on a mobile device is provided. A system for providing a shopping list comprises at least one subsystem that receives input data containing product identification information, at least one subsystem that determines location information of a product identified by the product identification information, and at least one subsystem that determines a proposed route from a particular location to a location of the product identified by the location information.

CROSS REFERENCE TO RELATED APPLICATIONS

The patent applications below (including the present patent application) are filed concurrently and share a common title and disclosure, each of which is hereby incorporated herein by reference in its entirety:

U.S. patent application Ser. No. 12/072,787; and

U.S. patent application Ser. No. 12/042,815.

BACKGROUND

Shoppers often have to make multiple trips to multiple locations to obtain the items on their shopping lists. Also, a shopper may know that a particular item is or may be available at multiple locations, but does necessarily know which location has the best price, which location has the item in stock, and which location best fits into their routine for the day based upon other unknown locations of items they wish to purchase that same day. Also, the same items may also be available online for a lower price if the shopper does not need the item immediately. These factors often combine together resulting in waste of time and money of the shoppers driving or walking around to acquire the different items needed in an inefficient manner.

In this regard, there is a need for price searching and intelligent shopping lists on a mobile device that provides more immediate information to the shopper to make better purchasing decisions.

SUMMARY

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

In consideration of the above-identified shortcomings of the art, price searching and intelligent shopping lists on a mobile device is provided. For several embodiments, a system for providing a shopping list comprises at least one subsystem that receives input data containing product identification information, at least one subsystem that determines location information of a product identified by the product identification information, and at least one subsystem that determines a proposed route from a particular location to a location of the product identified by the location information.

Other advantages and features of the invention are described below.

BRIEF DESCRIPTION OF THE DRAWINGS

Price searching and intelligent shopping lists on a mobile device is further described with reference to the accompanying drawings in which:

FIG. 1 is a block diagram representing an exemplary computing device suitable for use in conjunction with implementing price searching on a mobile device;

FIG. 2 illustrates an exemplary networked computing environment in which many computerized processes may be implemented to perform price searching on a mobile device.

FIG. 3 is a flow chart illustrating an example process according to price searching on a mobile device;

FIG. 4 diagram illustrating scanner suitable for a mobile device and the scanner operably coupled to the mobile device;

FIG. 5 is a diagram illustrating an example system according to price searching on a mobile device;

FIG. 6 is a block diagram illustrating an example price search/comparison engine according to the price search/comparison engine of FIG. 5;

FIG. 7 is a flow chart illustrating an example process according to price searching and creating intelligent shopping lists on a mobile device;

FIG. 8 is a front view of a mobile device illustrating an example interactive shopping list according to price searching and creating intelligent shopping lists on a mobile device; and

FIG. 9 is a front view of a mobile device illustrating an example interactive suggested shopping route for the shopping list of FIG. 8 according to price searching and creating intelligent shopping lists on a mobile device.

DETAILED DESCRIPTION

Certain specific details are set forth in the following description and figures to provide a thorough understanding of various embodiments of the invention. Certain well-known details often associated with computing and software technology are not set forth in the following disclosure to avoid unnecessarily obscuring the various embodiments of the invention. Further, those of ordinary skill in the relevant art will understand that they can practice other embodiments of the invention without one or more of the details described below. Finally, while various methods are described with reference to steps and sequences in the following disclosure, the description as such is for providing a clear implementation of embodiments of the invention, and the steps and sequences of steps should not be taken as required to practice this invention.

Referring next to FIG. 1, shown is a block diagram representing an exemplary computing device suitable for use in conjunction with implementing the processes described above. For example, the computer executable instructions that carry out the processes and methods for price searching and intelligent shopping list on a mobile device may reside and/or be executed in such a computing environment as shown in FIG. 1. The computing system environment 220 is only one example of a suitable computing environment and is not intended to suggest any limitation as to the scope of use or functionality of the invention. Neither should the computing environment 220 be interpreted as having any dependency or requirement relating to any one or combination of components illustrated in the exemplary operating environment 220. For example a computer game console or mobile computing device may also include those items such as those described below for use in conjunction with implementing the processes described above.

Aspects of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the invention include, but are not limited to, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.

Aspects of the invention may be implemented in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Aspects of the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

An exemplary system for implementing aspects of the invention includes a general purpose computing device in the form of a computer 241. Components of computer 241 may include, but are not limited to, a processing unit 259, a system memory 222, and a system bus 221 that couples various system components including the system memory to the processing unit 259. The system bus 221 may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus also known as Mezzanine bus.

Computer 241 typically includes a variety of computer readable media. Computer readable media can be any available media that can be accessed by computer 241 and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer readable media may comprise computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by computer 241. Combinations of the any of the above should also be included within the scope of computer readable media.

The system memory 222 includes computer storage media in the form of volatile and/or nonvolatile memory such as read only memory (ROM) 223 and random access memory (RAM) 260. A basic input/output system 224 (BIOS), containing the basic routines that help to transfer information between elements within computer 241, such as during start-up, is typically stored in ROM 223. RAM 260 typically contains data and/or program modules that are immediately accessible to and/or presently being operated on by processing unit 259. By way of example, and not limitation, FIG. 1 illustrates operating system 225, application programs 226, other program modules 227, and program data 228.

The computer 241 may also include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only, FIG. 1 illustrates a hard disk drive 238 that reads from or writes to non-removable, nonvolatile magnetic media, a magnetic disk drive 239 that reads from or writes to a removable, nonvolatile magnetic disk 254, and an optical disk drive 240 that reads from or writes to a removable, nonvolatile optical disk 253 such as a CD ROM or other optical media. Other removable/non-removable, volatile/nonvolatile computer storage media that can be used in the exemplary operating environment include, but are not limited to, magnetic tape cassettes, flash memory cards, digital versatile disks, digital video tape, solid state RAM, solid state ROM, and the like. The hard disk drive 238 is typically connected to the system bus 221 through an non-removable memory interface such as interface 234, and magnetic disk drive 239 and optical disk drive 240 are typically connected to the system bus 221 by a removable memory interface, such as interface 235.

The drives and their associated computer storage media discussed above and illustrated in FIG. 1, provide storage of computer readable instructions, data structures, program modules and other data for the computer 241. In FIG. 1, for example, hard disk drive 238 is illustrated as storing operating system 258, application programs 257, other program modules 256, and program data 255. Note that these components can either be the same as or different from operating system 225, application programs 226, other program modules 227, and program data 228. Operating system 258, application programs 257, other program modules 256, and program data 255 are given different numbers here to illustrate that, at a minimum, they are different copies. A user may enter commands and information into the computer 241 through input devices such as a keyboard 251 and pointing device 252, commonly referred to as a mouse, trackball or touch pad. Other input devices (not shown) may include a microphone, joystick, game pad, satellite dish, scanner, or the like. These and other input devices are often connected to the processing unit 259 through a user input interface 236 that is coupled to the system bus, but may be connected by other interface and bus structures, such as a parallel port, game port or a universal serial bus (USB). A monitor 242 or other type of display device is also connected to the system bus 221 via an interface, such as a video interface 232. In addition to the monitor, computers may also include other peripheral output devices such as speakers 244 and printer 243, which may be connected through a output peripheral interface 233.

The computer 241 may operate in a networked environment using logical connections to one or more remote computers, such as a remote computer 246. The remote computer 246 may be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer 241, although only a memory storage device 247 has been illustrated in FIG. 1. The logical connections depicted in FIG. 1 include a local area network (LAN) 245 and a wide area network (WAN) 249, but may also include other networks. Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets and the Internet.

When used in a LAN networking environment, the computer 241 is connected to the LAN 245 through a network interface or adapter 237. When used in a WAN networking environment, the computer 241 typically includes a modem 250 or other means for establishing communications over the WAN 249, such as the Internet. The modem 250, which may be internal or external, may be connected to the system bus 221 via the user input interface 236, or other appropriate mechanism. In a networked environment, program modules depicted relative to the computer 241, or portions thereof, may be stored in the remote memory storage device. By way of example, and not limitation, FIG. 1 illustrates remote application programs 248 as residing on memory device 247. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers may be used.

It should be understood that the various techniques described herein may be implemented in connection with hardware or software or, where appropriate, with a combination of both. Thus, the methods and apparatus of the invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium wherein, when the program code is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention. In the case of program code execution on programmable computers, the computing device generally includes a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. One or more programs that may implement or utilize the processes described in connection with the invention, e.g., through the use of an API, reusable controls, or the like. Such programs are preferably implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language, and combined with hardware implementations.

Although exemplary embodiments may refer to utilizing aspects of the invention in the context of one or more stand-alone computer systems, the invention is not so limited, but rather may be implemented in connection with any computing environment, such as a network or distributed computing environment. Still further, aspects of the invention may be implemented in or across a plurality of processing chips or devices, and storage may similarly be effected across a plurality of devices. Such devices might include personal computers, network servers, handheld devices, supercomputers, or computers integrated into other systems such as automobiles and airplanes.

Referring next to FIG. 2, shown is an exemplary networked computing environment in which many computerized processes may be implemented to perform the processes described above. For example, parallel computing may be part of such a networked environment with various clients on the network of FIG. 2 using and/or implementing price searching and intelligent shopping lists on a mobile device. One of ordinary skill in the art can appreciate that networks can connect any computer or other client or server device, or in a distributed computing environment. In this regard, any computer system or environment having any number of processing, memory, or storage units, and any number of applications and processes occurring simultaneously is considered suitable for use in connection with the systems and methods provided.

Distributed computing provides sharing of computer resources and services by exchange between computing devices and systems. These resources and services include the exchange of information, cache storage and disk storage for files. Distributed computing takes advantage of network connectivity, allowing clients to leverage their collective power to benefit the entire enterprise. In this regard, a variety of devices may have applications, objects or resources that may implicate the processes described herein.

FIG. 2 provides a schematic diagram of an exemplary networked or distributed computing environment. The environment comprises computing devices 271, 272, 276, and 277 as well as objects 273, 274, and 275, and database 278. Each of these entities 271, 272, 273, 274, 275, 276, 277 and 278 may comprise or make use of programs, methods, data stores, programmable logic, etc. The entities 271, 272, 273, 274, 275, 276, 277 and 278 may span portions of the same or different devices such as PDAs, audio/video devices, MP3 players, personal computers, etc. Each entity 271, 272, 273, 274, 275, 276, 277 and 278 can communicate with another entity 271, 272, 273, 274, 275, 276, 277 and 278 by way of the communications network 270. In this regard, any entity may be responsible for the maintenance and updating of a database 278 or other storage element.

This network 270 may itself comprise other computing entities that provide services to the system of FIG. 2, and may itself represent multiple interconnected networks. In accordance with an aspect of the invention, each entity 271, 272, 273, 274, 275, 276, 277 and 278 may contain discrete functional program modules that might make use of an API, or other object, software, firmware and/or hardware, to request services of one or more of the other entities 271, 272, 273, 274, 275, 276, 277 and 278.

It can also be appreciated that an object, such as 275, may be hosted on another computing device 276. Thus, although the physical environment depicted may show the connected devices as computers, such illustration is merely exemplary and the physical environment may alternatively be depicted or described comprising various digital devices such as PDAs, televisions, MP3 players, etc., software objects such as interfaces, COM objects and the like.

There are a variety of systems, components, and network configurations that support distributed computing environments. For example, computing systems may be connected together by wired or wireless systems, by local networks or widely distributed networks. Currently, many networks are coupled to the Internet, which provides an infrastructure for widely distributed computing and encompasses many different networks. Any such infrastructures, whether coupled to the Internet or not, may be used in conjunction with the systems and methods provided.

A network infrastructure may enable a host of network topologies such as client/server, peer-to-peer, or hybrid architectures. The “client” is a member of a class or group that uses the services of another class or group to which it is not related. In computing, a client is a process, i.e., roughly a set of instructions or tasks, that requests a service provided by another program. The client process utilizes the requested service without having to “know” any working details about the other program or the service itself. In a client/server architecture, particularly a networked system, a client is usually a computer that accesses shared network resources provided by another computer, e.g., a server. In the example of FIG. 2, any entity 271, 272, 273, 274, 275, 276, 277 and 278 can be considered a client, a server, or both, depending on the circumstances.

A server is typically, though not necessarily, a remote computer system accessible over a remote or local network, such as the Internet. The client process may be active in a first computer system, and the server process may be active in a second computer system, communicating with one another over a communications medium, thus providing distributed functionality and allowing multiple clients to take advantage of the information-gathering capabilities of the server. Any software objects may be distributed across multiple computing devices or objects.

Client(s) and server(s) communicate with one another utilizing the functionality provided by protocol layer(s). For example, HyperText Transfer Protocol (HTTP) is a common protocol that is used in conjunction with the World Wide Web (WWW), or “the Web.” Typically, a computer network address such as an Internet Protocol (IP) address or other reference such as a Universal Resource Locator (URL) can be used to identify the server or client computers to each other. The network address can be referred to as a URL address. Communication can be provided over a communications medium, e.g., client(s) and server(s) may be coupled to one another via TCP/IP connection(s) for high-capacity communication.

In light of the diverse computing environments that may be built according to the general framework provided in FIG. 2 and the further diversification that can occur in computing in a network environment such as that of FIG. 2, the systems and methods provided herein cannot be construed as limited in any way to a particular computing architecture. Instead, the invention should not be limited to any single embodiment, but rather should be construed in breadth and scope in accordance with the appended claims.

Referring next to FIG. 3, shown is a flow chart illustrating an example process according to price searching on a mobile device. The user of a mobile device may scan 301 the tag attached to or associated with a product in a retail establishment. This may be accomplished in a variety of ways using any number of different scanning technologies currently known to those of ordinary skill in such areas of technology. For example, the price tag of a product may include a barcode that may contain such information as price, serial number and other product identification information. A barcode is a machine-readable representation of information (usually dark ink on a light background to create high and low reflectance which is converted to 1s and 0s). Originally, barcodes stored data in the widths and spacings of printed parallel lines, but now they also come in patterns of dots, concentric circles, and text codes hidden within images. Barcodes can be read by optical scanners called barcode readers or scanned from an image by special software. Barcodes are widely used to implement Auto ID Data Capture (AIDC) systems that improve the speed and accuracy of computer data entry. An advantage over other methods of AIDC is that it is less expensive to implement. The best-known and most widespread use of barcodes has been on consumer products using the Universal Product Code (UPC) symbol.

Also, the user of a mobile device may scan 301 the tag attached to or associated with a product in a retail establishment using Radio-frequency identification (RFID) technologies. RFID is an automatic identification method, relying on storing and remotely retrieving data using devices called RFID tags or transponders. An RFID tag is an object that can be applied to or incorporated into a product, animal, or person for the purpose of identification using radio waves. Some tags can be read from several meters away and beyond the line of sight of the reader. Most RFID tags contain at least two parts. One is an integrated circuit for storing and processing information, modulating and demodulating a (RF) signal and can also be used for other specialized functions. The second is an antenna for receiving and transmitting the signal. A technology called chipless RFID allows for discrete identification of tags without an integrated circuit, thereby allowing tags to be printed directly onto assets at lower cost than traditional tags.

Once the price tag of the item is scanned 301, the price and other product identifying information is retrieved 303 from the scanned data by decoding functionality within the mobile device if need be. This price and other product identification information is then compared to price data resident on the mobile device itself and/or then transmitted 305 wirelessly, for example, to a product price search/comparison engine. The product price search/comparison engine then searches 307 for same or similar items for sale on the Internet in an automated fashion and possibly published prices at physical stores using the data transmitted from the mobile device. The search results and purchasing options are transmitted 309 back to the user's wireless device. However, in addition to or as an alternative to displaying the purchase options on the mobile device, the purchase option may be communicated to and displayed on a variety of different locations and devices including, but not limited to: the same or another user's home computer via email, web posting or other electronic messaging service, another cellular or mobile computing device of the same or another user, a computing device of another retailer or vendor, or a printer. At this point, the user may determine 311 whether to purchase item immediately at the store where the item was scanned or purchase at lower price on the internet or other location. Also, the user may set a variety of different options to be performed automatically based upon the search results. For example, the user may wish to have a purchase placed automatically if the same item is found at a less expensive price elsewhere. This automatic purchase may be communicated wirelessly through the mobile device to the vendor selling the item or to the vendor's web site for automatic order placement.

Referring next to FIG. 4, shown is diagram illustrating a scanner suitable for a mobile device and the scanner operably coupled to the mobile device. Shown is a barcode scanner 401 and a mobile communication and computing device 403 and the combination of the scanner 401 operably coupled to the mobile device 403, hereafter referred to as the mobile scanner 405. The barcode reader 401 (or barcode scanner 401) on the mobile scanner 405 is an electronic device for reading printed barcodes. Like a flatbed scanner, it consists of a light source, a lens and a photo conductor translating optical impulses into electrical ones. Additionally, nearly all barcode readers contain decoder circuitry analyzing the barcode's image data provided by the photo conductor and sending the barcode's content to the scanner's output port. Examples of reader types are described below:

Pen Type Readers

Pen type readers consist of a light source and a photodiode that are placed next to each other in the tip of a pen or wand. To read a bar code, the tip of the pen moves across the bars in a steady motion. The photodiode measures the intensity of the light reflected back from the light source and generates a waveform that is used to measure the widths of the bars and spaces in the bar code. Dark bars in the bar code absorb light and white spaces reflect light so that the voltage waveform generated by the photo diode is a representation of the bar and space pattern in the bar code. This waveform is decoded by the scanner in a manner similar to the way Morse code dots and dashes are decoded.

Laser Scanners

Laser scanners work the same way as pen type readers except that they use a laser beam as the light source and typically employ either a reciprocating mirror or a rotating prism to scan the laser beam back and forth across the bar code. As with the pen type reader, a photodiode is used to measure the intensity of the light reflected back from the bar code. In both pen readers and laser scanners, the light emitted by the reader is tuned to a specific frequency and the photodiode is designed to detect only this modulated light of the same frequency.

CCD Readers

CCD readers (also referred to as LED scanner) use an array of hundreds of tiny light sensors lined up in a row in the head of the reader. Each sensor can be thought of as a single photodiode that measures the intensity of the light immediately in front of it. Each individual light sensor in the CCD reader is extremely small and because there are hundreds of sensors lined up in a row, a voltage pattern identical to the pattern in a bar code is generated in the reader by sequentially measuring the voltages across each sensor in the row. The important difference between a CCD reader and a pen or laser scanner is that the CCD reader is measuring emitted ambient light from the bar code whereas pen or laser scanners are measuring reflected light of a specific frequency originating from the scanner itself.

Camera-Based Readers

2D imaging scanners are the fourth and newest type of bar code reader currently available. They use a small video camera to capture an image of a bar code. The reader then uses sophisticated digital image processing techniques to decode the bar code. Video cameras use the same CCD technology as in a CCD bar code reader except that instead of having a single row of sensors, a video camera has hundreds of rows of sensors arranged in a two dimensional array so that they can generate an image.

The particular scanner 402 shown in FIG. 4 as an example is the CompactFlash® Scan Card (CFSC) 5E available from Dell (One Dell Way Round Rock, Tex. 78682). It is a Series 5 Entry Level scanner that adds bar code scanning to a Pocket PC® or Palm® device. Based on miniature linear complementary metal-oxide-semiconductor (CMOS) imaging technology from Symbol Technologies, Inc. (2220 Boston Street Baltimore, Md. 21231 USA) the CFSC 5E scans all popular linear bar code symbologies and uses approximately 57 mA of power during scanning to maximize battery life. SocketScan keyboard emulation software sends decoded data to any Microsoft Windows® or Palm® application as virtual keystrokes. The Manufacturer Part# is IS5024-608 and the Dell Part # is A0488823. However, the scanner 402 for mobile devices shown in FIG. 4 is provided as an example only and other suitable scanning devices may be used including those integrated within a mobile computing device 407 and those using other scanning technologies such as RFID.

Referring next to FIG. 5, shown is a diagram illustrating an example system according to price searching on a mobile device. Shown is the example mobile scanner 4 shown in FIG. 4 scanning the tag 501 of a garment 503, for example. The mobile scanner 405 may be in operable wireless communication with any variety of networks such as the cellular phone network 505 using cellular towers 507 for communication, and/or directly to the internet through Wi-Fi networks 506 and internet router(s) 511. The cellular network 505 may then also interface with other communication networks such as Wi-Fi or land lines 510 to direct the information to the intended destination. Wi-Fi is a wireless technology brand owned by the Wi-Fi Alliance intended to improve the interoperability of wireless local area network products based on the IEEE 802.11 standards. Common applications for Wi-Fi include Internet and VoIP phone access, gaming, and network connectivity for consumer electronics such as televisions, DVD players, and digital cameras. The price and product identification information scanned form the tag 501 may then be communicated over one or more such communication networks to a price search/comparison engine 513 in communication with the Internet 509 or other networks on which product pricing data may be available.

The product price search/comparison engine 513 then searches 307 for same or similar items for sale on the Internet or other network in an automated fashion using the data transmitted from the mobile device. Also using data transmitted from the mobile device, the product price search/comparison engine 513 may also automatically search prices at physical stores posted or published electronically to the Internet or other network using the. The search results and purchasing options are transmitted 309 back to the user's wireless device through the Wi-Fi and/or cellular, and/or other network providing electronic communication.

Referring next to FIG. 6, shown is a block diagram illustrating an example price search/comparison engine according to the price search/comparison engine of FIG. 5. Shown are the search request reception module 601, the search session generator 603, the price comparison engine 605, the product selector 607, and the data aggregation engine 609. A price search request may be received by the search request reception module 601 from a mobile device 405, for example. The search request reception module may verify the request as having the needed data to perform the search (e.g., price and product identification data), and perhaps reformat the data into a form that may be useful to the price comparison engine 605. For example, if the product identification is a model number, the search request reception module may put the model number in a standard format for understood by the price comparison engine. If the required data is present, the data is passed on to the search session generator 603. The search session generator 603 sets up a search session between the mobile device 405 and the price/search comparison engine 513. This session may be identified by a session number, for example, and may include the network address of the mobile device 405 such that the search results may be communicated to the mobile device 405 when the search results are ready. Other properties of the session may include, but are not limited to: search timeout settings, product type settings, settings for geographic search boundaries, product selection criteria, and current location of the mobile device, for example.

The data aggregation engine 609 is responsible for aggregating price and product information from various sources, may they be internet sites, servers, store inventory databases, etc. Login and/or other authentication credentials, if need be, may be communicated to the data aggregation engine from the mobile device 405, through authorized retailers over the Internet 611, or may be already stored in the data aggregation engine. The data aggregation engine 609 may then use these login and/or authentication credential to access otherwise restricted sites and databases containing price and product information.

The data aggregation engine 609 is in operable communication with the price comparison engine 605 and product selector 607. The price information for the same or similar product identified in the search request is communicated from the data aggregation engine 609 to the price comparison engine 605 and also perhaps to the product selector 607. The price comparison engine 605 determines whether the price is above, below or falls within pre-set range compared to the price of the scanned product 503. The pre-set range may include, for example, a percentage difference (either above, below, or both) from the price of the scanned product 503. The product selector is responsible for selecting a product or number of products communicated from the data aggregation engine 513 that are to be communicated to the mobile device 405 and presented the user. The product selector selects products based upon the price data received from the price comparison engine and certain product selection criteria. The source of the product selection criteria may be from the mobile device 405 or a web server, for example, according to custom settings provided by the user. The product selection criteria may include, for example, to only provide products that are below a certain percent in price difference from the product scanned, or to provide products with prices that are within a range below or above the price of the product scanned, or to only provide products that are any amount in price below the product scanned. Also, product location, source and availability may also be provided along with the price of the available product from the product selector 607 back to the search session generator 603. The search session generator then communicates the products, price and other associated product information back to the mobile device 405 through the Internet 611 and/or over other communications networks (such as the cellular network).

The above information such as product location, source and availability may also be used in conjunction with creating an intelligent shopping list for the user on their mobile device or other computing device. Referring next to FIG. 7, shown is a flow chart illustrating an example process according to price searching and creating intelligent shopping lists on a mobile device. The user may input shopping list items in a variety of ways (both manually and automatically) into their mobile device 405 or other computing device. For example, the user may find an item on a web site and when the user clicks 701 on that item, there may be programs resident on their computing device that stores the product identification information of the item on which the user clicked or otherwise selected. There may also be an “add to shopping list” button or link within the web site or within the user's web browser itself that will obtain the product identification information (such as model number, for example) and add it to the user's shopping list on the mobile device 405 or other computing device on which the web browser is running. The user may also scan 703 or capture the product identification information off of a tag of an item as described above using a mobile device 405. As another example, the user may manually type in, cut and paste or otherwise input 705 product identification information (e.g., the type of product, product name, model number and/or manufacturer) into the shopping list on the user's mobile device 405 or other computing device. Also, the user may provide locations that they wish to visit to be included on the route for that day that are not necessarily shopping stops, but stops for various other reasons including running various errands. of If the product identification information is entered into a computing device other than the user's mobile device 405, it may be either manually or automatically transmitted, downloaded, or otherwise communicated to the mobile device 405 at a later time through a variety of communication networks and channels if the user so chooses. Various examples of these communication networks and channels that may be available are illustrated in FIG. 5.

When the user is ready to purchase the items in the shopping list, the product identification information for the items in the list, and other desired locations entered by the user are then transmitted 709 to a price search/comparison engine that may be either resident on the mobile device 405, or remote from the user's mobile device as described above. The best prices for each individual item in the shopping list and location of stores having one or more of the items may be searched for 307 as described above, with various searching options available for each item as described above. Also, the user may provide locations at this time that they wish to visit to be included on the route for that day that are not necessarily shopping stops, but stops for various other reasons including running various errands. For example, the price comparison/search engine 513 may search 307 for same or similar items for sale on the Internet and possibly published prices, locations and availabilities at physical stores. The price search results, proposed shopping routes, and purchasing options are then transmitted back to the user's wireless device 405, or other computing device of the user's choosing. Also, for example, the user may determine which items to purchase at physical stores vs. web sites and a shopping route is provided 715 to the user based on user's current location provided by the user's mobile device's global positioning system (GPS) or other location system. The route may be automatically loaded into the mobile device's GPS system so that it dynamically displays the current location of the user and adjusts the directions for following the route accordingly.

Referring next to FIG. 8, shown is a front view of a mobile device 405 illustrating an example interactive shopping list 803 according to price searching and creating intelligent shopping lists on a mobile device. As can be seen in FIG. 8, a current example shopping list 803 is displayed and there are a variety of options 805 that the user may choose from to customize a route to pick up the items that may be located at different stores. For example, the user may select whether the item is needed today (and thus physical stores may be chosen over web sites). The user may select a particular location from the locations at which the item is available to include on the route, and/or the user may choose the route to be calculated based on lowest overall cost (including gas costs due to distance traveled), whether the user needs the items as soon as possible, whether the items are available at a physical store vs. a web site, whether the store at which the item is available is outside a certain distance from the user's current location, etc. An example interactive list of priorities 801 is shown below the interactive shopping list 803. Once the user has reviewed the shopping lest 803 and set any customizations 801, 805. The user may click on a “Suggest Route” button 705, for example, to calculate and display a suggested route.

Referring next to FIG. 9, shown is a front view of a mobile device illustrating an example interactive suggested shopping route 901 for the shopping list of FIG. 8. The example shopping route 901 may be an interactive map with the suggested route highlighted and associated direction provided, showing each stop and what items are available at each stop. When the user selects an item by clicking on or touching the item name on the map 901, the store name, product price, availability and address information may appear for that item. Also, the user may zoom in on the map to get a more detailed view. The route 901 may be automatically loaded into the mobile device's GPS system so that it dynamically displays the current location of the user on the mobile device 405 and adjusts the directions for following the route accordingly while the user is driving or otherwise changes locations. If the user wants to go back the view or edit the shopping list, the user may push the “go back’ button 903, at which point the interactive list will be shown again as illustrated in FIG. 8.

Voice recognition technology may be used instead of or in addition to the user to pushing a button on the mobile device to activate a transaction or process as described above. Also, biometric authentication may be used during any authentication process or technology described above. When referencing “credit card” above, this term also includes debit cards, cash cards, gift cards and other types of card used for authentication, account identification and/or to purchase or acquire items.

When referring networks in the above description, this term includes satellite networks among other communication networks. Also, applications performing various tasks can be downloaded to the mobile device as well as the mobile device running as a “thin” client. When referencing computing environments above, this also includes computing devices integrated into computing systems of buses, RVs, trains, motorcycles and other automobiles. The price comparison process includes searching prices at physical stores and the Internet as well as “auction” Internet sites such as eBay. Also, a feature on the mobile device to enter a “preferred” product description (color, size, style, etc.) to help narrow down the product search when product information is not available on the price “tag” may also be included. A user may also place a product on “hold” for a period of time using their mobile device so the user can go to the store to physically inspect the product before finalizing the purchase. A product “tag” as referenced above also may be a chip contained in or on the product.

In addition to or as an alternative to the process described above of weighing of the merchandise to ensure that the products purchased are those leaving the store, the capability of automatically scanning the product security tags (including RFID tags and the like, for example) as the products leave the store may also be present. When confirmation is received regarding the purchase, the mobile device may be used to deactivate the product security tags. As the products leave the store, the product security tags should match what was purchased. If a product's security tag is not matched, store personnel can be notified and/or the product can be automatically charged to the buyer's credit or debit card. The user's mobile device could access (via wireless) the store's application (which can be integrated with the product security tags) to deactivate the product security tag once the transaction (credit or debit card charged) has completed.

It is noted that the foregoing examples have been provided merely for the purpose of explanation and are in no way to be construed as limiting of the present invention. While the invention has been described with reference to various embodiments, it is understood that the words which have been used herein are words of description and illustration, rather than words of limitations. Further, although the invention has been described herein with reference to particular means, materials and embodiments, the invention is not intended to be limited to the particulars disclosed herein; rather, the invention extends to all functionally equivalent structures, methods and uses, such as are within the scope of the appended claims. Those skilled in the art, having the benefit of the teachings of this specification, may effect numerous modifications thereto and changes may be made without departing from the scope and spirit of the invention in its aspects. 

1. A system for determining a route for shopping comprising: a system implemented on one or more processors, the system comprising: at least one subsystem that determines a lowest overall cost of a route for a user to take in acquiring items located in disparate locations; and at least one subsystem that bases a route decision at least in part on a prioritized list of factors provided by the user.
 2. The system of claim 1 wherein the at least one subsystem that determines comprises at least one subsystem implemented on one or more processors that bases a route decision at least in part on the current location of a user, locations of the items, and a desired end location provided by the user.
 3. The system of claim 2 wherein the current location of the user is determined by information provided by a user's global positioning system (GPS) device.
 4. The system of claim 2 wherein the at least one subsystem that determines further comprises at least one subsystem implemented on one or more processors that bases a route decision at least in part on different prices of a same item available in multiple locations and whether travel costs to obtain a less expensive item in one location is more than a difference in price of a same item available in a different location.
 5. The system of claim 2 wherein the at least one subsystem that determines further comprises at least one subsystem implemented on one or more processors that bases a route decision at least in part on whether an item is indicated by the user as needed immediately.
 6. The system of claim 1 wherein the factors include one or more of the following: lowest overall cost, urgency of acquiring items, whether it is preferred to purchase a particular or all items item on a web site, whether it is preferred to purchase a particular or all items at a physical store, whether a particular item or any item is farther than a particular distance from the user's current location.
 7. A method for determining a route for shopping, the method comprising: using a processor to perform: determining a lowest overall cost of a route for a user to take in acquiring items located in disparate locations; and basing a route decision at least in part on a prioritized list of factors provided by the user.
 8. The method of claim 7 wherein the determining comprises basing a route decision at least in part on the current location of a user, locations of the items, and a desired end location provided by the user.
 9. The method of claim 8 wherein the current location of the user is determined by information provided by a user's global positioning system (GPS) device.
 10. The method of claim 8 wherein the determining further comprises basing a route decision at least in part on different prices of a same item available in multiple locations and whether travel costs to obtain a less expensive item in one location is more than a difference in price of a same item available in a different location.
 11. The method of claim 8 wherein the determining further comprises basing a route decision at least in part on whether an item is indicated by the user as needed immediately.
 12. The method of claim 7 wherein the factors include one or more of the following: lowest overall cost, urgency of acquiring items, whether it is preferred to purchase a particular or all items item on a web site, whether it is preferred to purchase a particular or all items at a physical store, whether a particular item or any item is farther than a particular distance from the user's current location.
 13. A computer-readable medium comprising computer-readable instructions for determining a route for shopping, said computer readable instructions comprising instructions for: determining a lowest overall cost of a route for a user to take in acquiring items located in disparate locations; and basing a route decision at least in part on a prioritized list of factors provided by the user.
 14. The computer-readable medium of claim 13 wherein the instructions for determining comprise instructions for basing a route decision at least in part on the current location of a user, locations of the items, and a desired end location provided by the user.
 15. The computer-readable medium of claim 14 wherein the current location of the user is determined by information provided by a user's global positioning system (GPS) device.
 16. The computer-readable medium of claim 14 wherein the instructions for determining further comprise instructions for basing a route decision at least in part on different prices of a same item available in multiple locations and whether travel costs to obtain a less expensive item in one location is more than a difference in price of a same item available in a different location.
 17. The computer-readable medium of claim 14 wherein the instructions for determining further comprise instructions for basing a route decision at least in part on whether an item is indicated by the user as needed immediately.
 18. The computer-readable medium of claim 13 wherein the factors include one or more of the following: lowest overall cost, urgency of acquiring items, whether it is preferred to purchase a particular or all items item on a web site, whether it is preferred to purchase a particular or all items at a physical store, whether a particular item or any item is farther than a particular distance from the user's current location. 